Gartner defines DMSA as a complete software system that supports and manages data in one or more file management systems (usually databases). DMSA includes specific optimizations to support analytical processing. This includes, but is not limited to, support for relational processing, nonrelational processing (such as graph processing), and machine learning and programming languages such as Python and R.

We believe that customer choose Microsoft as their platform of choice to build powerful big data and data warehousing solutions for the following reasons:

Productive: with best in class support for SQL, Spark and Hadoop and fully managed cloud services that allows you to provision your data warehouse & spark environment in minutes with a single click. Customers can also accelerate data integration with consistent 30+ native data connectors and empower your data scientists, data engineers and business analysts to use the tools and languages of their choice. Read how Rockwell cut development time by 80 percent for shorter time-to-market, reduced costs, and improved customer responsiveness.

Hybrid: Only Microsoft allows customers to leverage the SQL Server’s proven performance and security consistently, in private cloud or as a managed service in Azure. Customers also reduce cost & complexity of managing existing data transformations by consistently running SQL Server Integration Service packages in Azure. Finally, we also enable consistent user experience with common identity across on-premises and Azure. Learn how Carnival built a hybrid solution predicts onboard water usage, saving $200k/ship/year.

Intelligent: Customer have the flexibility to build & deploy machine learning models on premises, in the cloud or on the edge. They can also leverage the data science tool of choice with support for the best of Microsoft and open source innovation. And easily distribute insights across your organization through rich integration with Power BI and other leading BI tools. Find out how ASOS.com delivers 13 million personalized experiences with 33 orders per second.

Finally, Azure SQL Data Warehouse significantly improves your analytics while managing costs. We commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study to detail what happened after the companies moved their data to the cloud. You can also get the Gartner’s 2018 Magic Quadrant for Data Management Solutions for Analytics report to learn more about Microsoft’s leadership in the industry.

*This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.